2022-23 Superliga Season

192 games · 2 promotion-playoff teams

Final

Champion

FC Copenhagen

15th Title

Last Title: 2021-22

Relegated

Aalborg

27 pts

Horsens · 28 pts

Biggest Overachiever

Odense

6.46 points above expected

47 points · 40.54 expected points

Biggest Disappointment

Horsens

7.29 points below expected

28 points · 35.29 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Nordsjaelland	22	12	7	3	43	38	20	+18	29.63	+13.37
2	FC Copenhagen	22	13	3	6	42	45	22	+23	38.54	+3.46
3	Viborg	22	10	7	5	37	32	25	+7	31.54	+5.46
4	Aarhus GF	22	10	5	7	35	26	20	+6	28.18	+6.82
5	Randers	22	8	8	6	32	28	30	-2	28.63	+3.37
6	Brondby	22	8	6	8	30	32	34	-2	27.95	+2.05
7	Silkeborg	22	8	5	9	29	34	35	-1	32.68	-3.68
8	Midtjylland	22	6	10	6	28	32	29	+3	35.45	-7.45
9	Odense	22	7	7	8	28	27	38	-11	25.89	+2.11
10	Horsens	22	6	5	11	23	26	37	-11	27.93	-4.93
11	Lyngby	22	3	7	12	16	21	36	-15	23.91	-7.91
12	Aalborg	22	3	6	13	15	18	33	-15	26.76	-11.76

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen Champion	32	18	5	9	59	61	35	+26	60.90	-1.90
2	Nordsjaelland	32	15	10	7	55	50	35	+15	57.30	-2.30
3	Aarhus GF	32	14	9	9	51	42	31	+11	46.83	+4.17
4	Viborg	32	14	9	9	51	44	35	+9	50.65	+0.35
5	Brondby	32	12	8	12	44	48	52	-4	41.92	+2.08
6	Randers	32	10	11	11	41	40	47	-7	42.91	-1.91

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Midtjylland	32	12	13	7	49	53	39	+14	45.67	+3.33
2	Odense	32	12	11	9	47	47	51	-4	40.54	+6.46
3	Silkeborg	32	11	8	13	41	44	49	-5	44.54	-3.54
4	Lyngby	32	6	10	16	28	30	49	-19	27.81	+0.19
5	Horsens Relegated	32	7	7	18	28	33	58	-25	35.29	-7.29
6	Aalborg Relegated	32	6	9	17	27	34	45	-11	26.59	+0.41

Going into Phase 2, both groups kept their full Phase 1 points. Each group then played its own round-robin to determine final standings.

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Odense	47	40.54	+6.46
2	Aarhus GF	51	46.83	+4.17
3	Midtjylland	49	45.67	+3.33
4	Brondby	44	41.92	+2.08
5	Aalborg	27	26.59	+0.41

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Horsens	28	35.29	-7.29
2	Silkeborg	41	44.54	-3.54
3	Nordsjaelland	55	57.30	-2.30
4	Randers	41	42.91	-1.91
5	FC Copenhagen	59	60.90	-1.90

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	9	Oct 29 – Apr 2	1 in 309
2	Randers	5	Aug 5 – Sep 4	1 in 224
3	Nordsjaelland	4	Jul 18 – Aug 6	1 in 84
4	Aarhus GF	3	Aug 7 – Aug 20	1 in 42
5	Lyngby	2	Mar 5 – Mar 12	1 in 24

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aalborg	6	Oct 24 – Feb 26	1 in 159
2	Randers	5	Apr 30 – May 30	1 in 124
3	Lyngby	4	Aug 15 – Sep 4	1 in 31
4	Horsens	4	Feb 19 – Mar 12	1 in 30
5	Brondby	3	Jul 24 – Aug 7	1 in 15

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Odense	10	Sep 10 – Feb 19	1 in 212
2	Randers	10	Jul 15 – Sep 18	1 in 104
3	Brondby	9	Sep 4 – Nov 6	1 in 70
4	Viborg	11	Aug 28 – Nov 13	1 in 58
5	Nordsjaelland	9	Oct 3 – Feb 24	1 in 34

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Lyngby	16	Jul 17 – Nov 6	1 in 199
2	Silkeborg	8	Mar 12 – May 7	1 in 51
3	Midtjylland	5	Feb 27 – Mar 31	1 in 30
4	Randers	8	Oct 3 – Feb 19	1 in 25
5	Aalborg	9	Oct 24 – Mar 19	1 in 20

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
FC Copenhagen	1785	59	+6	10	9.1	+0.9
Nordsjaelland	1666	55	-7	8	7.1	+0.9
Aarhus GF	1666	51	+25	8	6.6	+1.4
Viborg	1679	51	-13	5	7.0	-2.0
Midtjylland	1728	49	+12	10	9.0	+1.0
Odense	1629	47	+27	10	6.9	+3.1
Brondby	1632	44	+29	8	5.2	+2.8
Silkeborg	1623	41	+10	10	7.1	+2.9
Randers	1597	41	-40	1	5.8	-4.8
Lyngby	1550	28	-13	7	5.9	+1.1
Horsens	1513	28	-32	1	5.0	-4.0
Aalborg	1585	27	-4	4	6.8	-2.8

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	FC	HOR	LYN	MID	NOR	ODE	RAN	SIL	VIB
Aalborg	—	0-0-2 2.67	1-0-1 2.52	0-0-2 1.70	2-2-0 5.35	2-1-1 6.03	1-2-1 3.70	0-1-1 2.29	0-2-2 5.43	0-0-2 2.41	0-1-3 4.53	0-0-2 2.47
Aarhus GF	2-0-0 2.73	—	0-2-2 5.35	0-1-3 3.60	1-0-1 2.73	2-0-0 2.91	1-0-1 1.98	1-2-1 4.89	2-0-0 2.91	2-2-0 5.64	0-1-1 2.27	3-1-0 4.49
Brondby	1-0-1 2.88	2-2-0 5.46	—	1-1-2 3.52	2-0-0 2.59	0-1-1 3.33	1-0-1 2.06	1-0-3 4.81	1-1-0 2.96	2-1-1 4.98	1-0-1 2.41	0-2-2 4.67
FC Copenhagen	2-0-0 3.79	3-1-0 7.31	2-1-1 7.42	—	1-0-1 3.86	2-0-0 3.82	0-1-1 2.86	1-1-2 6.94	1-0-1 3.86	1-1-2 7.52	2-0-0 3.15	3-0-1 7.05
Horsens	0-2-2 5.46	1-0-1 2.67	0-0-2 2.82	1-0-1 1.62	—	1-2-1 5.31	0-1-3 3.67	1-0-1 2.41	0-2-2 5.13	1-0-1 2.73	2-0-2 4.14	0-0-2 2.37
Lyngby	1-1-2 4.77	0-0-2 2.49	1-1-0 2.09	0-0-2 1.68	1-2-1 5.49	—	2-1-1 3.49	0-1-1 2.14	0-1-3 4.91	0-0-2 2.24	1-2-1 4.24	0-1-1 2.12
Midtjylland	1-2-1 7.20	1-0-1 3.46	1-0-1 3.36	1-1-0 2.54	3-1-0 7.25	1-1-2 7.45	—	0-2-0 3.01	2-1-1 7.00	0-2-0 3.45	1-2-1 6.48	1-1-0 2.90
Nordsjaelland	1-1-0 3.12	1-2-1 5.92	3-0-1 6.03	2-1-1 3.93	1-0-1 2.99	1-1-0 3.28	0-2-0 2.39	—	2-0-0 2.95	3-1-0 5.82	0-0-2 2.64	1-2-1 5.36
Odense	2-2-0 5.37	0-0-2 2.50	0-1-1 2.45	1-0-1 1.62	2-2-0 5.71	3-1-0 5.90	1-1-2 3.88	0-0-2 2.47	—	0-2-0 2.63	3-1-0 4.33	0-1-1 2.17
Randers	2-0-0 2.99	0-2-2 5.16	1-1-2 5.83	2-1-1 3.44	1-0-1 2.66	2-0-0 3.18	0-2-0 1.99	0-1-3 4.99	0-2-0 2.77	—	1-1-0 2.40	1-1-2 4.76
Silkeborg	3-1-0 6.31	1-1-0 3.15	1-0-1 3.00	0-0-2 2.26	2-0-2 6.71	1-2-1 6.63	1-2-1 4.35	2-0-0 2.75	0-1-3 6.52	0-1-1 3.01	—	0-0-2 3.05
Viborg	2-0-0 2.93	0-1-3 6.34	2-2-0 6.16	1-0-3 3.84	2-0-0 3.04	1-1-0 3.30	0-1-1 2.51	1-2-1 5.43	1-1-0 3.25	2-1-1 6.06	2-0-0 2.36	—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.77%	8.85%	5.99%	1.82%	1.30%	0.26%	25.00%
1	8.85%	13.54%	8.07%	4.69%	0.52%	1.04%	36.72%
2	5.99%	8.07%	4.17%	1.82%	0.78%	0.26%	21.09%
3	1.82%	4.69%	1.82%	4.17%	0.26%	—	12.76%
4	1.30%	0.52%	0.78%	0.26%	—	—	2.86%
5+	0.26%	1.04%	0.26%	—	—	—	1.56%
Total	25.00%	36.72%	21.09%	12.76%	2.86%	1.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.18	1.18	1.67
CV	0.86	0.86	—
Max	7	7	+7
Min	0	0	-7

Games Played: 192

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.50%	15.62%	3.12%	—	—	—	31.25%
1	3.12%	12.50%	12.50%	12.50%	—	3.12%	43.75%
2	6.25%	3.12%	3.12%	6.25%	—	—	18.75%
3	—	—	—	—	—	—	—
4	6.25%	—	—	—	—	—	6.25%
5+	—	—	—	—	—	—	—
Total	28.12%	31.25%	18.75%	18.75%	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.41	-0.34
SD	1.05	1.27	1.66
CV	0.98	0.90	—
Max	4	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	15.62%	3.12%	—	—	—	25.00%
1	18.75%	15.62%	3.12%	—	—	—	37.50%
2	6.25%	6.25%	3.12%	3.12%	—	—	18.75%
3	3.12%	9.38%	—	3.12%	3.12%	—	18.75%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	34.38%	46.88%	9.38%	6.25%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	0.97	+0.34
SD	1.06	1.00	1.21
CV	0.81	1.03	—
Max	3	4	+3
Min	0	0	-2

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	3.12%	9.38%	3.12%	3.12%	—	21.88%
1	12.50%	9.38%	9.38%	6.25%	3.12%	—	40.62%
2	6.25%	3.12%	6.25%	—	—	—	15.62%
3	—	3.12%	6.25%	6.25%	—	—	15.62%
4	—	—	—	—	—	—	—
5+	—	3.12%	3.12%	—	—	—	6.25%
Total	21.88%	21.88%	34.38%	15.62%	6.25%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.62	-0.12
SD	1.34	1.18	1.81
CV	0.90	0.73	—
Max	5	4	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	—	—	—	—	12.50%
1	9.38%	12.50%	6.25%	6.25%	—	—	34.38%
2	6.25%	12.50%	—	3.12%	3.12%	—	25.00%
3	9.38%	6.25%	—	—	—	—	15.62%
4	—	6.25%	—	3.12%	—	—	9.38%
5+	3.12%	—	—	—	—	—	3.12%
Total	31.25%	46.88%	6.25%	12.50%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.91	1.09	+0.81
SD	1.49	1.09	1.93
CV	0.78	1.00	—
Max	7	4	+7
Min	0	0	-2

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	12.50%	3.12%	6.25%	—	40.62%
1	9.38%	3.12%	15.62%	3.12%	3.12%	—	34.38%
2	—	6.25%	3.12%	—	—	3.12%	12.50%
3	—	—	3.12%	6.25%	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	3.12%	—	—	—	—	3.12%
Total	18.75%	21.88%	34.38%	12.50%	9.38%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.81	-0.78
SD	1.20	1.33	1.70
CV	1.17	0.73	—
Max	5	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	21.88%	9.38%	6.25%	3.12%	—	43.75%
1	3.12%	15.62%	6.25%	3.12%	—	—	28.12%
2	3.12%	9.38%	6.25%	—	—	—	18.75%
3	—	3.12%	—	6.25%	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	9.38%	50.00%	21.88%	15.62%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.53	-0.59
SD	1.01	0.98	1.39
CV	1.08	0.64	—
Max	3	4	+2
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	3.12%	6.25%	—	—	—	18.75%
1	6.25%	18.75%	6.25%	6.25%	—	—	37.50%
2	9.38%	6.25%	—	—	—	—	15.62%
3	3.12%	3.12%	—	12.50%	—	—	18.75%
4	3.12%	—	3.12%	—	—	—	6.25%
5+	—	3.12%	—	—	—	—	3.12%
Total	31.25%	34.38%	15.62%	18.75%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.66	1.22	+0.44
SD	1.33	1.10	1.58
CV	0.81	0.90	—
Max	5	3	+4
Min	0	0	-2

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	3.12%	—	—	—	21.88%
1	3.12%	21.88%	6.25%	—	—	3.12%	34.38%
2	9.38%	9.38%	—	—	—	—	18.75%
3	—	12.50%	6.25%	—	—	—	18.75%
4	—	—	3.12%	—	—	—	3.12%
5+	—	3.12%	—	—	—	—	3.12%
Total	21.88%	56.25%	18.75%	—	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.09	+0.47
SD	1.29	0.96	1.52
CV	0.83	0.88	—
Max	5	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	3.12%	6.25%	—	—	3.12%	18.75%
1	6.25%	15.62%	6.25%	—	—	3.12%	31.25%
2	6.25%	15.62%	9.38%	—	6.25%	—	37.50%
3	—	3.12%	3.12%	3.12%	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	21.88%	37.50%	25.00%	3.12%	6.25%	6.25%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.59	-0.12
SD	1.02	1.58	1.96
CV	0.69	0.99	—
Max	4	7	+4
Min	0	0	-7

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	—	9.38%	—	—	—	18.75%
1	18.75%	12.50%	3.12%	15.62%	—	3.12%	53.12%
2	3.12%	—	9.38%	3.12%	—	—	15.62%
3	—	3.12%	3.12%	3.12%	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	34.38%	15.62%	25.00%	21.88%	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.47	-0.22
SD	0.98	1.34	1.60
CV	0.79	0.91	—
Max	4	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.25%	9.38%	6.25%	—	—	21.88%
1	12.50%	9.38%	12.50%	—	—	—	34.38%
2	6.25%	9.38%	6.25%	6.25%	—	—	28.12%
3	—	6.25%	—	9.38%	—	—	15.62%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.75%	31.25%	28.12%	21.88%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.53	-0.16
SD	1.01	1.05	1.39
CV	0.73	0.68	—
Max	3	3	+2
Min	0	0	-3

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	—	3.12%	3.12%	—	25.00%
1	3.12%	15.62%	9.38%	3.12%	—	—	31.25%
2	9.38%	15.62%	3.12%	—	—	—	28.12%
3	6.25%	6.25%	—	—	—	—	12.50%
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	28.12%	46.88%	15.62%	6.25%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.09	+0.28
SD	1.10	1.00	1.61
CV	0.80	0.91	—
Max	4	4	+3
Min	0	0	-4

Games Played: 32

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
FC Copenhagen	1785	42	38.54	+3.46	70.0%	26	28	34	39	43	47	52
Midtjylland	1734	28	35.45	-7.45	12.0%	18	25	32	35	40	45	55
Viborg	1673	37	31.54	+5.46	82.0%	16	21	27	31	36	42	47
Aarhus GF	1666	35	28.18	+6.82	93.0%	14	18	25	28	32	36	42
Nordsjaelland	1666	43	29.63	+13.37	98.0%	17	19	25	29	34	40	45
Brondby	1632	30	27.95	+2.05	64.0%	14	19	23	28	32	37	39
Odense	1629	28	25.89	+2.11	68.0%	12	16	22	26	30	37	43
Silkeborg	1623	29	32.68	-3.68	26.0%	18	22	29	32	36	42	49
Randers	1597	32	28.63	+3.37	76.0%	17	19	25	29	32	37	41
Aalborg	1585	15	26.76	-11.76	2.0%	11	18	23	26	30	35	43
Lyngby	1550	16	23.91	-7.91	6.0%	9	16	20	24	27	34	37
Horsens	1513	23	27.93	-4.93	19.0%	13	18	25	28	32	38	44

Point Totals in Context

Each team's actual results against four model perspectives: simulated points, team Elo, average opponent Elo, and percentile within simulated outcomes. First phase is on the left, second phase on the right; the buttons switch the perspective on both plots at once. Dashed crosshairs at each plot's league means split it into four quadrants.

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Season metrics are available for completed seasons.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The sections below show matchup heatmaps and round-by-round simulation outcomes.

Finals

Midtjylland 1

Viborg 0

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

Final Table Odds

Each cell is the probability that the team (row) finished at that position (column). Use the buttons to switch between the first-phase positions when the league split and the final second-phase positions. Rows are sorted by actual finish (champion at top).

Team	1	2	3	4	5	6	7	8	9	10	11	12
Nordsjaelland	4.00%	9.00%	10.00%	12.00%	6.00%	10.00%	13.00%	7.00%	8.00%	7.00%	6.00%	8.00%
FC Copenhagen	46.00%	17.00%	13.00%	11.00%	5.00%	1.00%	2.00%	4.00%	—	1.00%	—	—
Viborg	10.00%	9.00%	9.00%	12.00%	13.00%	8.00%	9.00%	11.00%	7.00%	3.00%	5.00%	4.00%
Aarhus GF	1.00%	6.00%	5.00%	11.00%	7.00%	17.00%	8.00%	15.00%	8.00%	8.00%	5.00%	9.00%
Randers	3.00%	7.00%	6.00%	9.00%	6.00%	11.00%	16.00%	7.00%	11.00%	10.00%	6.00%	8.00%
Brondby	2.00%	5.00%	5.00%	12.00%	7.00%	8.00%	11.00%	10.00%	9.00%	12.00%	8.00%	11.00%
Silkeborg	11.00%	14.00%	14.00%	6.00%	12.00%	13.00%	8.00%	5.00%	8.00%	5.00%	2.00%	2.00%
Midtjylland	18.00%	22.00%	22.00%	10.00%	13.00%	1.00%	5.00%	1.00%	3.00%	1.00%	1.00%	3.00%
Odense	2.00%	3.00%	5.00%	4.00%	8.00%	9.00%	7.00%	5.00%	12.00%	15.00%	16.00%	14.00%
Horsens	1.00%	2.00%	5.00%	5.00%	14.00%	12.00%	10.00%	11.00%	13.00%	10.00%	10.00%	7.00%
Lyngby	—	1.00%	3.00%	3.00%	3.00%	1.00%	6.00%	10.00%	10.00%	16.00%	24.00%	23.00%
Aalborg	2.00%	5.00%	3.00%	5.00%	6.00%	9.00%	5.00%	14.00%	11.00%	12.00%	17.00%	11.00%

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	66.28%	28.48%	4.57%	0.57%	0.10%	—	—	—	—	—	—	—
Nordsjaelland	30.28%	51.58%	14.22%	3.36%	0.50%	0.06%	—	—	—	—	—	—
Aarhus GF	0.48%	4.49%	20.41%	40.99%	23.04%	10.59%	—	—	—	—	—	—
Viborg	2.81%	14.18%	50.12%	22.03%	8.64%	2.22%	—	—	—	—	—	—
Brondby	0.04%	0.41%	4.65%	14.06%	29.92%	50.92%	—	—	—	—	—	—
Randers	0.11%	0.86%	6.03%	18.99%	37.80%	36.21%	—	—	—	—	—	—
Midtjylland	—	—	—	—	—	—	48.26%	34.39%	13.70%	3.35%	0.29%	0.01%
Odense	—	—	—	—	—	—	10.62%	22.81%	46.10%	17.99%	2.23%	0.25%
Silkeborg	—	—	—	—	—	—	39.60%	36.42%	18.79%	4.67%	0.51%	0.01%
Lyngby	—	—	—	—	—	—	0.01%	0.34%	1.78%	11.01%	48.24%	38.62%
Horsens	—	—	—	—	—	—	1.48%	5.86%	18.61%	55.89%	15.35%	2.81%
Aalborg	—	—	—	—	—	—	0.03%	0.18%	1.02%	7.09%	33.38%	58.30%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Use the buttons to switch between the first-phase distribution and the second-phase championship and relegation groups. Reading a curve at the 50% mark gives the median points typically needed to finish at that position.

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team	Qualified for Championship Round	Relegated
FC Copenhagen	100%	—
Viborg	98.00%	2.00%
Midtjylland	97.00%	3.00%
Nordsjaelland	93.00%	7.00%
Silkeborg	92.00%	8.00%
Brondby	86.00%	14.00%
Aarhus GF	83.00%	17.00%
Horsens	81.00%	19.00%
Randers	81.00%	19.00%
Odense	70.00%	30.00%
Aalborg	68.00%	32.00%
Lyngby	51.00%	49.00%

Actual Promotion/Relegation Outcomes

Across 100,000 simulations that took the actual first-phase results as FIXED and projected only the second-phase games, the probability of each team's end-of-season outcome. With the league split already decided, contenders and relegation candidates settle into clearer roles than in the full-season sim above.

Team	Qualified for Championship Round	Relegated
Midtjylland	99.70%	0.30%
Silkeborg	99.48%	0.52%
Odense	97.52%	2.48%
Horsens	81.84%	18.16%
Lyngby	13.14%	86.86%
Aalborg	8.32%	91.68%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2022-07-15	Randers	D 1-1	70.6	1712	1613	52.94%	26.93%	20.14%	+0.59	-1.2	1
2022-07-15	@ Midtjylland	D 1-1	70.6	1613	1712	20.14%	26.93%	52.94%	-0.59	+1.2	1
2022-07-17	Aalborg	W 2-1	62.0	1636	1618	41.97%	29.72%	28.31%	+0.22	+5.2	3
2022-07-17	@ Viborg	L 1-2	62.0	1618	1636	28.31%	29.72%	41.97%	-0.22	-5.2	0
2022-07-17	Aarhus GF	W 1-0	54.4	1638	1583	47.10%	28.72%	24.18%	+0.38	+4.9	3
2022-07-17	@ Brondby	L 0-1	54.4	1583	1638	24.18%	28.72%	47.10%	-0.38	-4.9	0
2022-07-17	Horsens	L 0-1	64.8	1738	1623	54.81%	26.21%	18.98%	+0.65	-9.0	0
2022-07-17	@ FC Copenhagen	W 1-0	64.8	1623	1738	18.98%	26.21%	54.81%	-0.65	+9.0	3
2022-07-17	Silkeborg	D 2-2	74.9	1620	1673	31.98%	30.13%	37.88%	-0.10	+0.1	1
2022-07-17	@ Lyngby	D 2-2	74.9	1673	1620	37.88%	30.13%	31.98%	+0.10	-0.2	1
2022-07-18	Nordsjaelland	L 0-2	55.3	1603	1596	40.64%	29.89%	29.47%	+0.17	-13.6	0
2022-07-18	@ Odense	W 2-0	55.3	1596	1603	29.47%	29.89%	40.64%	-0.17	+13.6	3
2022-07-22	Silkeborg	L 1-3	64.6	1711	1673	44.80%	29.24%	25.96%	+0.31	-12.7	1
2022-07-22	@ Midtjylland	W 3-1	64.6	1673	1711	25.96%	29.24%	44.80%	-0.31	+12.7	4
2022-07-24	FC Copenhagen	L 1-3	58.1	1613	1729	24.65%	28.87%	46.47%	-0.38	-8.1	0
2022-07-24	@ Aalborg	W 3-1	58.1	1729	1613	46.47%	28.87%	24.65%	+0.38	+8.1	3
2022-07-24	Nordsjaelland	L 1-3	62.9	1643	1610	44.24%	29.35%	26.41%	+0.29	-12.5	3
2022-07-24	@ Brondby	W 3-1	62.9	1610	1643	26.41%	29.35%	44.24%	-0.29	+12.5	6
2022-07-24	Odense	D 2-2	73.5	1614	1590	42.92%	29.58%	27.50%	+0.25	-0.4	2
2022-07-24	@ Randers	D 2-2	73.5	1590	1614	27.50%	29.58%	42.92%	-0.25	+0.4	1
2022-07-24	Viborg	W 3-1	61.0	1579	1641	30.88%	30.05%	39.08%	-0.14	+11.4	3
2022-07-24	@ Aarhus GF	L 1-3	61.0	1641	1579	39.08%	30.05%	30.88%	+0.14	-11.4	3
2022-07-25	Lyngby	W 1-0	56.7	1633	1620	41.36%	29.81%	28.83%	+0.20	+5.6	6
2022-07-25	@ Horsens	L 0-1	56.7	1620	1633	28.83%	29.81%	41.36%	-0.20	-5.6	1
2022-07-29	Midtjylland	L 1-5	54.1	1590	1698	25.46%	29.10%	45.44%	-0.35	-15.2	1
2022-07-29	@ Odense	W 5-1	54.1	1698	1590	45.44%	29.10%	25.46%	+0.35	+15.2	4
2022-07-31	Brondby	W 2-0	51.9	1686	1630	47.20%	28.69%	24.10%	+0.39	+9.1	7
2022-07-31	@ Silkeborg	L 0-2	51.9	1630	1686	24.10%	28.69%	47.20%	-0.39	-9.2	3
2022-07-31	FC Copenhagen	W 4-2	68.5	1629	1737	25.49%	29.11%	45.40%	-0.34	+11.4	6
2022-07-31	@ Viborg	L 2-4	68.5	1737	1629	45.40%	29.11%	25.49%	+0.34	-11.4	3
2022-07-31	Horsens	D 0-0	63.9	1605	1638	34.86%	30.22%	34.91%	-0.01	+0.0	1
2022-07-31	@ Aalborg	D 0-0	63.9	1638	1605	34.91%	30.22%	34.86%	+0.01	+0.0	7
2022-07-31	Randers	D 0-0	63.1	1590	1613	36.25%	30.20%	33.54%	+0.03	-0.1	4
2022-07-31	@ Aarhus GF	D 0-0	63.1	1613	1590	33.54%	30.20%	36.25%	-0.03	+0.1	3
2022-08-01	Lyngby	W 2-1	62.1	1622	1614	40.68%	29.89%	29.43%	+0.17	+5.4	9
2022-08-01	@ Nordsjaelland	L 1-2	62.1	1614	1622	29.43%	29.89%	40.68%	-0.17	-5.4	1
2022-08-05	Horsens	W 1-0	58.2	1613	1638	36.06%	30.21%	33.73%	+0.03	+6.3	6
2022-08-05	@ Randers	L 0-1	58.2	1638	1613	33.73%	30.21%	36.06%	-0.03	-6.3	7
2022-08-05	Midtjylland	D 3-3	79.4	1609	1713	25.82%	29.20%	44.97%	-0.33	+0.4	2
2022-08-05	@ Lyngby	D 3-3	79.4	1713	1609	44.97%	29.20%	25.82%	+0.33	-0.4	5
2022-08-06	Viborg	W 1-0	58.0	1627	1641	37.69%	30.15%	32.17%	+0.08	+6.1	12
2022-08-06	@ Nordsjaelland	L 0-1	58.0	1641	1627	32.17%	30.15%	37.69%	-0.08	-6.1	6
2022-08-07	Aarhus GF	L 1-2	63.0	1575	1590	37.47%	30.16%	32.37%	+0.07	-6.4	1
2022-08-07	@ Odense	W 2-1	63.0	1590	1575	32.37%	30.16%	37.47%	-0.07	+6.4	7
2022-08-07	Brondby	W 4-1	53.4	1726	1621	53.53%	26.71%	19.76%	+0.61	+9.3	6
2022-08-07	@ FC Copenhagen	L 1-4	53.4	1621	1726	19.76%	26.71%	53.53%	-0.61	-9.3	3
2022-08-08	Aalborg	W 3-1	56.1	1695	1605	51.71%	27.36%	20.93%	+0.54	+7.0	10
2022-08-08	@ Silkeborg	L 1-3	56.1	1605	1695	20.93%	27.36%	51.71%	-0.54	-7.0	1
2022-08-12	Midtjylland	D 3-3	79.5	1632	1713	28.50%	29.75%	41.75%	-0.23	+0.3	8
2022-08-12	@ Horsens	D 3-3	79.5	1713	1632	41.75%	29.75%	28.50%	+0.23	-0.3	6
2022-08-12	Randers	L 1-3	66.5	1735	1620	54.88%	26.18%	18.93%	+0.65	-14.8	6
2022-08-12	@ FC Copenhagen	W 3-1	66.5	1620	1735	18.93%	26.18%	54.88%	-0.65	+14.8	9
2022-08-14	Nordsjaelland	D 0-0	63.7	1598	1634	34.53%	30.22%	35.25%	-0.02	+0.0	2
2022-08-14	@ Aalborg	D 0-0	63.7	1634	1598	35.25%	30.22%	34.53%	+0.02	-0.0	13
2022-08-14	Odense	W 2-0	50.0	1612	1569	45.57%	29.08%	25.35%	+0.33	+9.6	6
2022-08-14	@ Brondby	L 0-2	50.0	1569	1612	25.35%	29.08%	45.57%	-0.33	-9.6	1
2022-08-14	Silkeborg	W 2-0	57.3	1635	1702	30.20%	29.98%	39.82%	-0.16	+13.4	9
2022-08-14	@ Viborg	L 0-2	57.3	1702	1635	39.82%	29.98%	30.20%	+0.16	-13.4	10
2022-08-15	Lyngby	W 1-0	56.8	1596	1609	37.75%	30.14%	32.11%	+0.08	+6.1	10
2022-08-15	@ Aarhus GF	L 0-1	56.8	1609	1596	32.11%	30.14%	37.75%	-0.08	-6.1	2
2022-08-19	FC Copenhagen	L 0-3	50.2	1603	1720	24.53%	28.83%	46.64%	-0.39	-13.5	2
2022-08-19	@ Lyngby	W 3-0	50.2	1720	1603	46.64%	28.83%	24.53%	+0.39	+13.5	9
2022-08-20	Aarhus GF	L 0-2	60.3	1713	1602	54.28%	26.42%	19.30%	+0.63	-16.9	6
2022-08-20	@ Midtjylland	W 2-0	60.3	1602	1713	19.30%	26.42%	54.28%	-0.63	+16.9	13
2022-08-21	Brondby	W 2-1	63.1	1598	1622	36.25%	30.20%	33.55%	+0.03	+5.9	5
2022-08-21	@ Aalborg	L 1-2	63.1	1622	1598	33.55%	30.20%	36.25%	-0.03	-5.9	6
2022-08-21	Silkeborg	L 0-2	54.7	1634	1689	31.79%	30.12%	38.08%	-0.11	-11.4	13
2022-08-21	@ Nordsjaelland	W 2-0	54.7	1689	1634	38.08%	30.12%	31.79%	+0.11	+11.4	13
2022-08-21	Viborg	W 1-0	58.3	1635	1648	37.67%	30.15%	32.19%	+0.08	+6.1	12
2022-08-21	@ Randers	L 0-1	58.3	1648	1635	32.19%	30.15%	37.67%	-0.08	-6.1	9
2022-08-22	Horsens	W 1-0	59.0	1559	1632	29.50%	29.90%	40.60%	-0.19	+7.2	4
2022-08-22	@ Odense	L 0-1	59.0	1632	1559	40.60%	29.90%	29.50%	+0.19	-7.2	8
2022-08-26	Aarhus GF	W 2-1	62.3	1625	1619	40.36%	29.93%	29.72%	+0.16	+5.4	11
2022-08-26	@ Horsens	L 1-2	62.3	1619	1625	29.72%	29.93%	40.36%	-0.16	-5.4	13
2022-08-28	Aalborg	W 1-0	55.6	1641	1604	44.65%	29.27%	26.08%	+0.30	+5.2	15
2022-08-28	@ Randers	L 0-1	55.6	1604	1641	26.08%	29.27%	44.65%	-0.30	-5.2	5
2022-08-28	FC Copenhagen	W 3-1	64.7	1622	1734	25.09%	29.00%	45.91%	-0.36	+12.9	16
2022-08-28	@ Nordsjaelland	L 1-3	64.7	1734	1622	45.91%	29.00%	25.09%	+0.36	-12.9	9
2022-08-28	Lyngby	W 2-1	60.2	1642	1590	46.78%	28.80%	24.42%	+0.37	+4.6	12
2022-08-28	@ Viborg	L 1-2	60.2	1590	1642	24.42%	28.80%	46.78%	-0.37	-4.6	2
2022-08-28	Odense	L 1-2	69.5	1700	1566	57.17%	25.22%	17.61%	+0.74	-8.8	13
2022-08-28	@ Silkeborg	W 2-1	69.5	1566	1700	17.61%	25.22%	57.17%	-0.74	+8.8	7
2022-08-29	Midtjylland	L 0-2	53.6	1616	1696	28.62%	29.77%	41.60%	-0.22	-10.5	6
2022-08-29	@ Brondby	W 2-0	53.6	1696	1616	41.60%	29.77%	28.62%	+0.22	+10.5	9
2022-09-02	Silkeborg	W 1-0	57.7	1721	1691	43.68%	29.45%	26.87%	+0.27	+5.3	12
2022-09-02	@ FC Copenhagen	L 0-1	57.7	1691	1721	26.87%	29.45%	43.68%	-0.27	-5.3	13
2022-09-04	Aalborg	L 0-2	60.1	1706	1599	53.92%	26.56%	19.52%	+0.62	-16.8	9
2022-09-04	@ Midtjylland	W 2-0	60.1	1599	1706	19.52%	26.56%	53.92%	-0.62	+16.8	8
2022-09-04	Brondby	L 0-2	56.7	1630	1605	43.10%	29.55%	27.35%	+0.25	-14.2	11
2022-09-04	@ Horsens	W 2-0	56.7	1605	1630	27.35%	29.55%	43.10%	-0.25	+14.2	9
2022-09-04	Randers	L 0-2	53.1	1585	1646	31.05%	30.06%	38.89%	-0.13	-11.2	2
2022-09-04	@ Lyngby	W 2-0	53.1	1646	1585	38.89%	30.06%	31.05%	+0.13	+11.2	18
2022-09-04	Viborg	L 1-2	61.9	1575	1647	29.69%	29.92%	40.38%	-0.18	-5.4	7
2022-09-04	@ Odense	W 2-1	61.9	1647	1575	40.38%	29.92%	29.69%	+0.18	+5.4	15
2022-09-05	Nordsjaelland	L 2-3	69.6	1614	1635	36.58%	30.19%	33.22%	+0.04	-6.0	13
2022-09-05	@ Aarhus GF	W 3-2	69.6	1635	1614	33.22%	30.19%	36.58%	-0.04	+6.0	19
2022-09-10	FC Copenhagen	W 2-1	69.0	1570	1726	20.87%	27.33%	51.80%	-0.56	+8.2	10
2022-09-10	@ Odense	L 1-2	69.0	1726	1570	51.80%	27.33%	20.87%	+0.56	-8.2	12
2022-09-11	Aarhus GF	W 1-0	54.7	1686	1608	50.17%	27.86%	21.97%	+0.49	+4.5	16
2022-09-11	@ Silkeborg	L 0-1	54.7	1608	1686	21.97%	27.86%	50.17%	-0.49	-4.5	13
2022-09-11	Lyngby	D 1-1	67.7	1616	1574	45.39%	29.12%	25.50%	+0.33	-0.7	9
2022-09-11	@ Aalborg	D 1-1	67.7	1574	1616	25.50%	29.12%	45.39%	-0.33	+0.7	3
2022-09-11	Midtjylland	D 1-1	69.7	1641	1689	32.69%	30.17%	37.13%	-0.08	+0.2	20
2022-09-11	@ Nordsjaelland	D 1-1	69.7	1689	1641	37.13%	30.17%	32.69%	+0.08	-0.2	10
2022-09-11	Randers	D 2-2	74.7	1619	1657	34.19%	30.22%	35.60%	-0.03	+0.0	10
2022-09-11	@ Brondby	D 2-2	74.7	1657	1619	35.60%	30.22%	34.19%	+0.03	-0.0	19
2022-09-12	Horsens	W 2-1	61.5	1652	1616	44.56%	29.29%	26.16%	+0.30	+4.9	18
2022-09-12	@ Viborg	L 1-2	61.5	1616	1652	26.16%	29.29%	44.56%	-0.30	-4.9	11
2022-09-16	Nordsjaelland	W 1-0	58.5	1611	1641	35.31%	30.22%	34.47%	+0.00	+6.4	14
2022-09-16	@ Horsens	L 0-1	58.5	1641	1611	34.47%	30.22%	35.31%	+0.00	-6.4	20
2022-09-17	Aalborg	W 3-1	58.9	1604	1615	37.93%	30.13%	31.93%	+0.09	+9.9	16
2022-09-17	@ Aarhus GF	L 1-3	58.9	1615	1604	31.93%	30.13%	37.93%	-0.09	-9.9	9
2022-09-18	Brondby	D 0-0	64.7	1657	1619	44.79%	29.24%	25.97%	+0.31	-0.7	19
2022-09-18	@ Viborg	D 0-0	64.7	1619	1657	25.97%	29.24%	44.79%	-0.31	+0.8	11
2022-09-18	FC Copenhagen	W 2-1	65.6	1689	1718	35.51%	30.22%	34.27%	+0.01	+6.0	13
2022-09-18	@ Midtjylland	L 1-2	65.6	1718	1689	34.27%	30.22%	35.51%	-0.01	-6.0	12
2022-09-18	Odense	L 0-2	53.7	1575	1578	39.10%	30.05%	30.85%	+0.12	-13.2	3
2022-09-18	@ Lyngby	W 2-0	53.7	1578	1575	30.85%	30.05%	39.10%	-0.12	+13.2	13
2022-09-18	Silkeborg	W 3-2	70.4	1657	1690	34.81%	30.22%	34.96%	-0.01	+5.8	22
2022-09-18	@ Randers	L 2-3	70.4	1690	1657	34.96%	30.22%	34.81%	+0.01	-5.8	16
2022-09-30	Odense	D 1-1	67.6	1605	1591	41.55%	29.78%	28.67%	+0.20	-0.5	10
2022-09-30	@ Aalborg	D 1-1	67.6	1591	1605	28.67%	29.78%	41.55%	-0.20	+0.5	14
2022-10-02	Aarhus GF	W 1-0	54.3	1712	1613	52.79%	26.98%	20.23%	+0.58	+4.1	15
2022-10-02	@ FC Copenhagen	L 0-1	54.3	1613	1712	20.23%	26.98%	52.79%	-0.58	-4.1	16
2022-10-02	Horsens	W 2-1	60.7	1685	1618	48.73%	28.29%	22.98%	+0.44	+4.4	19
2022-10-02	@ Silkeborg	L 1-2	60.7	1618	1685	22.98%	28.29%	48.73%	-0.44	-4.4	14
2022-10-02	Lyngby	D 3-3	77.2	1620	1561	47.65%	28.58%	23.77%	+0.40	-0.5	12
2022-10-02	@ Brondby	D 3-3	77.2	1561	1620	23.77%	28.58%	47.65%	-0.40	+0.5	4
2022-10-02	Viborg	D 1-1	70.2	1695	1656	45.01%	29.19%	25.79%	+0.31	-0.7	14
2022-10-02	@ Midtjylland	D 1-1	70.2	1656	1695	25.79%	29.19%	45.01%	-0.31	+0.7	20
2022-10-03	Randers	W 3-1	60.9	1635	1663	35.57%	30.22%	34.21%	+0.01	+10.4	23
2022-10-03	@ Nordsjaelland	L 1-3	60.9	1663	1635	34.21%	30.22%	35.57%	-0.01	-10.4	22
2022-10-07	Viborg	D 1-1	68.2	1562	1657	26.89%	29.45%	43.66%	-0.29	+0.6	5
2022-10-07	@ Lyngby	D 1-1	68.2	1657	1562	43.66%	29.45%	26.89%	+0.29	-0.6	21
2022-10-08	Nordsjaelland	D 1-1	70.6	1716	1645	49.24%	28.14%	22.62%	+0.46	-1.0	16
2022-10-08	@ FC Copenhagen	D 1-1	70.6	1645	1716	22.62%	28.14%	49.24%	-0.46	+1.0	24
2022-10-09	Brondby	L 2-3	72.0	1652	1620	44.15%	29.36%	26.49%	+0.29	-6.9	22
2022-10-09	@ Randers	W 3-2	72.0	1620	1652	26.49%	29.36%	44.15%	-0.29	+6.9	15
2022-10-09	Midtjylland	L 0-1	57.1	1609	1695	28.00%	29.67%	42.33%	-0.24	-5.5	16
2022-10-09	@ Aarhus GF	W 1-0	57.1	1695	1609	42.33%	29.67%	28.00%	+0.24	+5.5	17
2022-10-09	Silkeborg	D 1-1	69.3	1592	1689	26.61%	29.39%	44.00%	-0.30	+0.6	15
2022-10-09	@ Odense	D 1-1	69.3	1689	1592	44.00%	29.39%	26.61%	+0.30	-0.6	20
2022-10-10	Aalborg	D 0-0	63.5	1613	1605	40.78%	29.88%	29.34%	+0.18	-0.4	15
2022-10-10	@ Horsens	D 0-0	63.5	1605	1613	29.34%	29.88%	40.78%	-0.18	+0.4	11
2022-10-14	Aalborg	L 0-2	52.5	1562	1605	33.49%	30.20%	36.31%	-0.05	-11.8	5
2022-10-14	@ Lyngby	W 2-0	52.5	1605	1562	36.31%	30.20%	33.49%	+0.05	+11.8	14
2022-10-16	Aarhus GF	D 1-1	68.9	1646	1604	45.44%	29.11%	25.46%	+0.33	-0.7	25
2022-10-16	@ Nordsjaelland	D 1-1	68.9	1604	1646	25.46%	29.11%	45.44%	-0.33	+0.7	17
2022-10-16	FC Copenhagen	D 1-1	70.0	1626	1715	27.62%	29.60%	42.78%	-0.26	+0.5	16
2022-10-16	@ Brondby	D 1-1	70.0	1715	1626	42.78%	29.60%	27.62%	+0.26	-0.5	17
2022-10-16	Horsens	W 2-1	60.0	1700	1613	51.38%	27.47%	21.15%	+0.53	+4.1	20
2022-10-16	@ Midtjylland	L 1-2	60.0	1613	1700	21.15%	27.47%	51.38%	-0.53	-4.1	15
2022-10-16	Odense	D 0-0	64.5	1656	1592	48.35%	28.39%	23.26%	+0.43	-1.0	22
2022-10-16	@ Viborg	D 0-0	64.5	1592	1656	23.26%	28.39%	48.35%	-0.43	+1.0	16
2022-10-17	Randers	D 3-3	79.6	1688	1646	45.51%	29.09%	25.40%	+0.33	-0.4	21
2022-10-17	@ Silkeborg	D 3-3	79.6	1646	1688	25.40%	29.09%	45.51%	-0.33	+0.4	23
2022-10-21	Lyngby	W 3-1	54.8	1593	1551	45.47%	29.10%	25.43%	+0.33	+8.3	19
2022-10-21	@ Odense	L 1-3	54.8	1551	1593	25.43%	29.10%	45.47%	-0.33	-8.3	5
2022-10-22	Midtjylland	D 1-1	70.5	1714	1704	41.02%	29.85%	29.13%	+0.18	-0.4	18
2022-10-22	@ FC Copenhagen	D 1-1	70.5	1704	1714	29.13%	29.85%	41.02%	-0.18	+0.4	21
2022-10-23	Brondby	D 2-2	73.9	1604	1627	36.38%	30.20%	33.42%	+0.04	-0.1	18
2022-10-23	@ Aarhus GF	D 2-2	73.9	1627	1604	33.42%	30.20%	36.38%	-0.04	+0.1	17
2022-10-23	Nordsjaelland	L 0-2	56.7	1646	1645	39.66%	30.00%	30.34%	+0.14	-13.3	23
2022-10-23	@ Randers	W 2-0	56.7	1645	1646	30.34%	30.00%	39.66%	-0.14	+13.3	28
2022-10-23	Silkeborg	W 3-2	71.7	1609	1688	28.73%	29.79%	41.47%	-0.22	+6.5	18
2022-10-23	@ Horsens	L 2-3	71.7	1688	1609	41.47%	29.79%	28.73%	+0.22	-6.5	21
2022-10-24	Viborg	L 1-3	60.5	1617	1655	34.12%	30.22%	35.66%	-0.03	-10.4	14
2022-10-24	@ Aalborg	W 3-1	60.5	1655	1617	35.66%	30.22%	34.12%	+0.03	+10.4	25
2022-10-28	Horsens	W 2-0	51.8	1659	1615	45.59%	29.07%	25.34%	+0.33	+9.5	31
2022-10-28	@ Nordsjaelland	L 0-2	51.8	1615	1659	25.34%	29.07%	45.59%	-0.33	-9.5	18
2022-10-29	FC Copenhagen	L 0-2	53.9	1633	1714	28.47%	29.75%	41.78%	-0.23	-10.5	23
2022-10-29	@ Randers	W 2-0	53.9	1714	1633	41.78%	29.75%	28.47%	+0.23	+10.5	21
2022-10-30	Aalborg	W 3-2	66.5	1627	1607	42.43%	29.65%	27.91%	+0.23	+4.9	20
2022-10-30	@ Brondby	L 2-3	66.5	1607	1627	27.91%	29.65%	42.43%	-0.23	-4.9	14
2022-10-30	Aarhus GF	L 0-1	55.0	1542	1604	30.88%	30.05%	39.07%	-0.14	-5.9	5
2022-10-30	@ Lyngby	W 1-0	55.0	1604	1542	39.07%	30.05%	30.88%	+0.14	+5.9	21
2022-10-30	Viborg	L 1-2	67.3	1681	1666	41.79%	29.75%	28.46%	+0.21	-6.9	21
2022-10-30	@ Silkeborg	W 2-1	67.3	1666	1681	28.46%	29.75%	41.79%	-0.21	+6.9	28
2022-10-31	Odense	L 1-2	69.4	1705	1601	53.39%	26.76%	19.85%	+0.60	-8.4	21
2022-10-31	@ Midtjylland	W 2-1	69.4	1601	1705	19.85%	26.76%	53.39%	-0.60	+8.4	22
2022-11-04	Randers	W 5-1	55.5	1606	1622	37.24%	30.17%	32.59%	+0.06	+18.3	21
2022-11-04	@ Horsens	L 1-5	55.5	1622	1606	32.59%	30.17%	37.24%	-0.06	-18.4	23
2022-11-06	Aarhus GF	D 1-1	69.6	1673	1610	48.10%	28.46%	23.44%	+0.42	-0.9	29
2022-11-06	@ Viborg	D 1-1	69.6	1610	1673	23.44%	28.46%	48.10%	-0.42	+0.9	22
2022-11-06	Brondby	D 1-1	68.4	1610	1632	36.44%	30.20%	33.37%	+0.04	-0.1	23
2022-11-06	@ Odense	D 1-1	68.4	1632	1610	33.37%	30.20%	36.44%	-0.04	+0.1	21
2022-11-06	Lyngby	W 3-0	44.3	1725	1536	63.54%	22.14%	14.32%	+0.98	+7.8	24
2022-11-06	@ FC Copenhagen	L 0-3	44.3	1536	1725	14.32%	22.14%	63.54%	-0.98	-7.7	5
2022-11-06	Silkeborg	L 1-2	62.8	1602	1674	29.53%	29.90%	40.57%	-0.19	-5.4	14
2022-11-06	@ Aalborg	W 2-1	62.8	1674	1602	40.57%	29.90%	29.53%	+0.19	+5.4	24
2022-11-07	Nordsjaelland	D 0-0	65.7	1696	1668	43.48%	29.48%	27.04%	+0.26	-0.7	22
2022-11-07	@ Midtjylland	D 0-0	65.7	1668	1696	27.04%	29.48%	43.48%	-0.26	+0.7	32
2022-11-12	Lyngby	L 0-2	59.4	1680	1529	59.27%	24.27%	16.46%	+0.82	-18.1	24
2022-11-12	@ Silkeborg	W 2-0	59.4	1529	1680	16.46%	24.27%	59.27%	-0.82	+18.1	8
2022-11-13	Aalborg	W 5-1	52.5	1669	1596	49.47%	28.07%	22.46%	+0.46	+13.6	35
2022-11-13	@ Nordsjaelland	L 1-5	52.5	1596	1669	22.46%	28.07%	49.47%	-0.46	-13.6	14
2022-11-13	FC Copenhagen	L 0-2	52.2	1611	1732	24.11%	28.70%	47.19%	-0.40	-9.2	22
2022-11-13	@ Aarhus GF	W 2-0	52.2	1732	1611	47.19%	28.70%	24.11%	+0.40	+9.2	27
2022-11-13	Midtjylland	D 0-0	65.0	1604	1696	27.25%	29.53%	43.22%	-0.27	+0.6	24
2022-11-13	@ Randers	D 0-0	65.0	1696	1604	43.22%	29.53%	27.25%	+0.27	-0.6	23
2022-11-13	Odense	D 3-3	78.0	1624	1610	41.59%	29.78%	28.63%	+0.20	-0.3	22
2022-11-13	@ Horsens	D 3-3	78.0	1610	1624	28.63%	29.78%	41.59%	-0.20	+0.3	24
2022-11-13	Viborg	L 0-2	55.2	1632	1672	33.92%	30.21%	35.86%	-0.04	-11.9	21
2022-11-13	@ Brondby	W 2-0	55.2	1672	1632	35.86%	30.21%	33.92%	+0.04	+11.9	32
2023-02-17	Aarhus GF	L 0-1	57.8	1583	1602	36.83%	30.19%	32.99%	+0.05	-6.7	14
2023-02-17	@ Aalborg	W 1-0	57.8	1602	1583	32.99%	30.19%	36.83%	-0.05	+6.7	25
2023-02-19	FC Copenhagen	L 0-3	52.5	1662	1741	28.68%	29.78%	41.54%	-0.22	-15.3	24
2023-02-19	@ Silkeborg	W 3-0	52.5	1741	1662	41.54%	29.78%	28.68%	+0.22	+15.3	30
2023-02-19	Horsens	W 5-2	59.1	1620	1624	39.05%	30.05%	30.90%	+0.12	+11.8	24
2023-02-19	@ Brondby	L 2-5	59.1	1624	1620	30.90%	30.05%	39.05%	-0.12	-11.8	22
2023-02-19	Nordsjaelland	D 1-1	68.8	1547	1683	22.69%	28.17%	49.14%	-0.47	+1.0	9
2023-02-19	@ Lyngby	D 1-1	68.8	1683	1547	49.14%	28.17%	22.69%	+0.47	-1.0	36
2023-02-19	Randers	D 0-0	63.4	1610	1604	40.36%	29.93%	29.71%	+0.16	-0.4	25
2023-02-19	@ Odense	D 0-0	63.4	1604	1610	29.71%	29.93%	40.36%	-0.16	+0.4	25
2023-02-20	Midtjylland	L 0-4	55.2	1684	1695	37.96%	30.13%	31.91%	+0.09	-24.5	32
2023-02-20	@ Viborg	W 4-0	55.2	1695	1684	31.91%	30.13%	37.96%	-0.09	+24.5	26
2023-02-24	Odense	W 4-2	60.5	1682	1610	49.38%	28.10%	22.52%	+0.46	+6.7	39
2023-02-24	@ Nordsjaelland	L 2-4	60.5	1610	1682	22.52%	28.10%	49.38%	-0.46	-6.7	25
2023-02-26	Aalborg	W 1-0	51.4	1757	1576	62.70%	22.57%	14.73%	+0.95	+2.9	33
2023-02-26	@ FC Copenhagen	L 0-1	51.4	1576	1757	14.73%	22.57%	62.70%	-0.95	-2.9	14
2023-02-26	Lyngby	W 1-0	52.6	1605	1548	47.43%	28.64%	23.93%	+0.39	+4.8	28
2023-02-26	@ Randers	L 0-1	52.6	1548	1605	23.93%	28.64%	47.43%	-0.39	-4.8	9
2023-02-26	Silkeborg	D 1-1	68.6	1609	1646	34.20%	30.22%	35.58%	-0.03	+0.0	26
2023-02-26	@ Aarhus GF	D 1-1	68.6	1646	1609	35.58%	30.22%	34.20%	+0.03	-0.0	25
2023-02-26	Viborg	L 0-3	52.5	1612	1659	32.89%	30.18%	36.93%	-0.07	-17.0	22
2023-02-26	@ Horsens	W 3-0	52.5	1659	1612	36.93%	30.18%	32.89%	+0.07	+17.0	35
2023-02-27	Brondby	L 0-1	64.0	1720	1632	51.41%	27.46%	21.13%	+0.53	-8.6	26
2023-02-27	@ Midtjylland	W 1-0	64.0	1632	1720	21.13%	27.46%	51.41%	-0.53	+8.6	27
2023-03-03	Horsens	W 2-0	51.8	1609	1595	41.52%	29.79%	28.70%	+0.20	+10.6	29
2023-03-03	@ Aarhus GF	L 0-2	51.8	1595	1609	28.70%	29.79%	41.52%	-0.20	-10.6	22
2023-03-05	Brondby	W 1-0	59.7	1543	1641	26.59%	29.39%	44.03%	-0.30	+7.7	12
2023-03-05	@ Lyngby	L 0-1	59.7	1641	1543	44.03%	29.39%	26.59%	+0.30	-7.6	27
2023-03-05	Nordsjaelland	W 2-1	65.6	1646	1688	33.61%	30.21%	36.18%	-0.05	+6.2	28
2023-03-05	@ Silkeborg	L 1-2	65.6	1688	1646	36.18%	30.21%	33.61%	+0.05	-6.2	39
2023-03-05	Odense	W 7-0	49.5	1760	1603	59.92%	23.96%	16.12%	+0.84	+19.7	36
2023-03-05	@ FC Copenhagen	L 0-7	49.5	1603	1760	16.12%	23.96%	59.92%	-0.84	-19.7	25
2023-03-05	Randers	D 2-2	75.4	1676	1610	48.65%	28.31%	23.04%	+0.44	-0.7	36
2023-03-05	@ Viborg	D 2-2	75.4	1610	1676	23.04%	28.31%	48.65%	-0.44	+0.7	29
2023-03-06	Midtjylland	D 0-0	65.2	1573	1711	22.50%	28.09%	49.41%	-0.48	+1.1	15
2023-03-06	@ Aalborg	D 0-0	65.2	1711	1573	49.41%	28.09%	22.50%	+0.48	-1.1	27
2023-03-10	Aalborg	W 2-1	60.2	1583	1574	40.85%	29.87%	29.28%	+0.18	+5.4	28
2023-03-10	@ Odense	L 1-2	60.2	1574	1583	29.28%	29.87%	40.85%	-0.18	-5.4	15
2023-03-12	FC Copenhagen	L 1-4	52.7	1584	1779	17.92%	25.46%	56.62%	-0.74	-8.4	22
2023-03-12	@ Horsens	W 4-1	52.7	1779	1584	56.62%	25.46%	17.92%	+0.74	+8.4	39
2023-03-12	Lyngby	L 1-3	66.2	1710	1551	60.22%	23.82%	15.97%	+0.85	-15.9	27
2023-03-12	@ Midtjylland	W 3-1	66.2	1551	1710	15.97%	23.82%	60.22%	-0.85	+15.9	15
2023-03-12	Nordsjaelland	D 1-1	70.0	1675	1682	38.63%	30.08%	31.28%	+0.11	-0.2	37
2023-03-12	@ Viborg	D 1-1	70.0	1682	1675	31.28%	30.08%	38.63%	-0.11	+0.2	40
2023-03-12	Silkeborg	W 2-1	64.1	1633	1653	36.76%	30.19%	33.05%	+0.05	+5.9	30
2023-03-12	@ Brondby	L 1-2	64.1	1653	1633	33.05%	30.19%	36.76%	-0.05	-5.9	28
2023-03-13	Aarhus GF	L 1-2	64.7	1610	1619	38.30%	30.11%	31.60%	+0.10	-6.5	29
2023-03-13	@ Randers	W 2-1	64.7	1619	1610	31.60%	30.11%	38.30%	-0.10	+6.5	32
2023-03-19	Brondby	W 2-1	61.9	1682	1639	45.60%	29.07%	25.33%	+0.33	+4.8	43
2023-03-19	@ Nordsjaelland	L 1-2	61.9	1639	1682	25.33%	29.07%	45.60%	-0.33	-4.8	30
2023-03-19	Horsens	D 1-1	66.1	1566	1576	38.21%	30.11%	31.68%	+0.10	-0.2	16
2023-03-19	@ Lyngby	D 1-1	66.1	1576	1566	31.68%	30.11%	38.21%	-0.10	+0.2	23
2023-03-19	Midtjylland	D 3-3	79.3	1647	1694	32.87%	30.18%	36.94%	-0.07	+0.1	29
2023-03-19	@ Silkeborg	D 3-3	79.3	1694	1647	36.94%	30.18%	32.87%	+0.07	-0.1	28
2023-03-19	Odense	W 1-0	54.9	1626	1589	44.76%	29.25%	26.00%	+0.31	+5.2	35
2023-03-19	@ Aarhus GF	L 0-1	54.9	1589	1626	26.00%	29.25%	44.76%	-0.31	-5.2	28
2023-03-19	Randers	L 0-1	56.8	1569	1604	34.58%	30.22%	35.20%	-0.02	-6.4	15
2023-03-19	@ Aalborg	W 1-0	56.8	1604	1569	35.20%	30.22%	34.58%	+0.02	+6.4	32
2023-03-19	Viborg	W 2-1	60.2	1788	1675	54.59%	26.30%	19.11%	+0.64	+3.7	42
2023-03-19	@ FC Copenhagen	L 1-2	60.2	1675	1788	19.11%	26.30%	54.59%	-0.64	-3.7	37

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2023-03-31	Midtjylland	D 1-1	69.4	1583	1694	25.20%	29.03%	45.77%	-0.36	+0.7	1
2023-03-31	@ Odense	D 1-1	69.4	1694	1583	45.77%	29.03%	25.20%	+0.36	-0.7	1
2023-04-02	Aalborg	L 0-4	52.1	1576	1562	41.52%	29.78%	28.70%	+0.20	-26.2	0
2023-04-02	@ Horsens	W 4-0	52.1	1562	1576	28.70%	29.78%	41.52%	-0.20	+26.2	3
2023-04-02	Nordsjaelland	W 2-1	60.6	1791	1687	53.56%	26.70%	19.75%	+0.61	+3.8	3
2023-04-02	@ FC Copenhagen	L 1-2	60.6	1687	1791	19.75%	26.70%	53.56%	-0.61	-3.8	0
2023-04-02	Silkeborg	D 1-1	68.0	1566	1647	28.55%	29.76%	41.68%	-0.22	+0.4	1
2023-04-02	@ Lyngby	D 1-1	68.0	1647	1566	41.68%	29.76%	28.55%	+0.22	-0.4	1
2023-04-02	Viborg	L 0-3	53.3	1634	1671	34.23%	30.22%	35.55%	-0.03	-17.5	0
2023-04-02	@ Brondby	W 3-0	53.3	1671	1634	35.55%	30.22%	34.23%	+0.03	+17.5	3
2023-04-03	Randers	D 1-1	68.6	1631	1610	42.49%	29.65%	27.87%	+0.23	-0.5	1
2023-04-03	@ Aarhus GF	D 1-1	68.6	1610	1631	27.87%	29.65%	42.49%	-0.23	+0.5	1
2023-04-09	Aarhus GF	L 0-1	62.9	1689	1631	47.58%	28.60%	23.82%	+0.40	-8.1	3
2023-04-09	@ Viborg	W 1-0	62.9	1631	1689	23.82%	28.60%	47.58%	-0.40	+8.1	4
2023-04-10	Brondby	W 2-1	60.7	1683	1617	48.70%	28.30%	23.01%	+0.44	+4.4	3
2023-04-10	@ Nordsjaelland	L 1-2	60.7	1617	1683	23.01%	28.30%	48.70%	-0.44	-4.4	0
2023-04-10	FC Copenhagen	W 1-0	65.2	1611	1795	18.66%	26.00%	55.34%	-0.69	+9.1	4
2023-04-10	@ Randers	L 0-1	65.2	1795	1611	55.34%	26.00%	18.66%	+0.69	-9.1	3
2023-04-10	Lyngby	W 1-0	52.3	1693	1567	56.29%	25.60%	18.11%	+0.71	+3.7	4
2023-04-10	@ Midtjylland	L 0-1	52.3	1567	1693	18.11%	25.60%	56.29%	-0.71	-3.7	1
2023-04-10	Odense	L 2-3	69.0	1589	1584	40.20%	29.94%	29.85%	+0.16	-6.4	3
2023-04-10	@ Aalborg	W 3-2	69.0	1584	1589	29.85%	29.94%	40.20%	-0.16	+6.4	4
2023-04-11	Horsens	L 1-2	67.3	1646	1550	52.53%	27.07%	20.39%	+0.57	-8.3	1
2023-04-11	@ Silkeborg	W 2-1	67.3	1550	1646	20.39%	27.07%	52.53%	-0.57	+8.3	3
2023-04-14	Aalborg	D 1-1	70.2	1697	1582	54.82%	26.21%	18.97%	+0.65	-1.3	5
2023-04-14	@ Midtjylland	D 1-1	70.2	1582	1697	18.97%	26.21%	54.82%	-0.65	+1.3	4
2023-04-16	Aarhus GF	W 1-0	58.3	1612	1639	35.79%	30.21%	33.99%	+0.02	+6.3	3
2023-04-16	@ Brondby	L 0-1	58.3	1639	1612	33.99%	30.21%	35.79%	-0.02	-6.3	4
2023-04-16	Horsens	W 2-1	59.4	1563	1558	40.23%	29.94%	29.83%	+0.16	+5.4	4
2023-04-16	@ Lyngby	L 1-2	59.4	1558	1563	29.83%	29.94%	40.23%	-0.16	-5.4	3
2023-04-16	Silkeborg	W 2-0	54.9	1591	1638	32.82%	30.18%	37.01%	-0.08	+12.7	7
2023-04-16	@ Odense	L 0-2	54.9	1638	1591	37.01%	30.18%	32.82%	+0.08	-12.7	1
2023-04-16	Viborg	W 2-1	60.5	1786	1681	53.68%	26.65%	19.67%	+0.61	+3.8	6
2023-04-16	@ FC Copenhagen	L 1-2	60.5	1681	1786	19.67%	26.65%	53.68%	-0.61	-3.8	3
2023-04-17	Nordsjaelland	D 1-1	69.5	1620	1688	30.16%	29.98%	39.86%	-0.17	+0.3	5
2023-04-17	@ Randers	D 1-1	69.5	1688	1620	39.86%	29.98%	30.16%	+0.17	-0.3	4
2023-04-21	Aalborg	D 2-2	73.8	1625	1584	45.38%	29.12%	25.50%	+0.33	-0.5	2
2023-04-21	@ Silkeborg	D 2-2	73.8	1584	1625	25.50%	29.12%	45.38%	-0.33	+0.5	5
2023-04-23	FC Copenhagen	D 0-0	66.7	1632	1790	20.76%	27.27%	51.97%	-0.57	+1.3	5
2023-04-23	@ Aarhus GF	D 0-0	66.7	1790	1632	51.97%	27.27%	20.76%	+0.57	-1.3	7
2023-04-23	Midtjylland	L 0-2	50.1	1553	1695	22.06%	27.90%	50.04%	-0.50	-8.4	3
2023-04-23	@ Horsens	W 2-0	50.1	1695	1553	50.04%	27.90%	22.06%	+0.50	+8.5	8
2023-04-23	Nordsjaelland	W 1-0	59.0	1677	1687	38.11%	30.12%	31.77%	+0.09	+6.0	6
2023-04-23	@ Viborg	L 0-1	59.0	1687	1677	31.77%	30.12%	38.11%	-0.09	-6.0	4
2023-04-23	Randers	L 0-4	53.8	1618	1620	39.33%	30.03%	30.65%	+0.13	-25.2	3
2023-04-23	@ Brondby	W 4-0	53.8	1620	1618	30.65%	30.03%	39.33%	-0.13	+25.2	8
2023-04-24	Lyngby	D 2-2	72.9	1603	1568	44.43%	29.31%	26.26%	+0.29	-0.5	8
2023-04-24	@ Odense	D 2-2	72.9	1568	1603	26.26%	29.31%	44.43%	-0.29	+0.5	5
2023-04-28	Odense	D 2-2	72.0	1544	1603	31.37%	30.09%	38.54%	-0.12	+0.2	4
2023-04-28	@ Horsens	D 2-2	72.0	1603	1544	38.54%	30.09%	31.37%	+0.12	-0.2	9
2023-04-30	Aarhus GF	L 0-1	62.5	1681	1634	46.15%	28.95%	24.90%	+0.35	-7.9	4
2023-04-30	@ Nordsjaelland	W 1-0	62.5	1634	1681	24.90%	28.95%	46.15%	-0.35	+7.9	8
2023-04-30	Brondby	L 0-1	66.4	1789	1593	64.36%	21.70%	13.94%	+1.02	-10.2	7
2023-04-30	@ FC Copenhagen	W 1-0	66.4	1593	1789	13.94%	21.70%	64.36%	-1.02	+10.2	6
2023-04-30	Lyngby	W 1-0	54.4	1584	1569	41.71%	29.76%	28.53%	+0.21	+5.6	8
2023-04-30	@ Aalborg	L 0-1	54.4	1569	1584	28.53%	29.76%	41.71%	-0.21	-5.6	5
2023-04-30	Randers	W 3-1	58.5	1683	1645	44.80%	29.24%	25.97%	+0.31	+8.4	9
2023-04-30	@ Viborg	L 1-3	58.5	1645	1683	25.97%	29.24%	44.80%	-0.31	-8.4	8
2023-05-01	Silkeborg	W 3-0	49.2	1704	1625	50.31%	27.82%	21.88%	+0.49	+12.2	11
2023-05-01	@ Midtjylland	L 0-3	49.2	1625	1704	21.88%	27.82%	50.31%	-0.49	-12.2	2
2023-05-07	Brondby	L 1-3	62.7	1637	1603	44.24%	29.35%	26.42%	+0.29	-12.5	8
2023-05-07	@ Randers	W 3-1	62.7	1603	1637	26.42%	29.35%	44.24%	-0.29	+12.5	9
2023-05-07	Horsens	W 4-0	46.8	1590	1545	45.81%	29.02%	25.17%	+0.34	+18.0	11
2023-05-07	@ Aalborg	L 0-4	46.8	1545	1590	25.17%	29.02%	45.81%	-0.34	-18.0	4
2023-05-07	Midtjylland	W 2-1	68.7	1563	1716	21.16%	27.48%	51.36%	-0.55	+8.1	8
2023-05-07	@ Lyngby	L 1-2	68.7	1716	1563	51.36%	27.48%	21.16%	+0.55	-8.1	11
2023-05-07	Odense	L 0-1	59.6	1613	1603	41.00%	29.85%	29.15%	+0.18	-7.3	2
2023-05-07	@ Silkeborg	W 1-0	59.6	1603	1613	29.15%	29.85%	41.00%	-0.18	+7.3	12
2023-05-07	Viborg	W 3-0	54.6	1642	1691	32.50%	30.16%	37.33%	-0.09	+18.6	11
2023-05-07	@ Aarhus GF	L 0-3	54.6	1691	1642	37.33%	30.16%	32.50%	+0.09	-18.6	9
2023-05-08	FC Copenhagen	W 3-2	73.8	1673	1778	25.76%	29.19%	45.06%	-0.33	+7.0	7
2023-05-08	@ Nordsjaelland	L 2-3	73.8	1778	1673	45.06%	29.19%	25.76%	+0.33	-7.0	7
2023-05-12	Aalborg	D 1-1	68.0	1610	1608	39.88%	29.98%	30.14%	+0.15	-0.3	13
2023-05-12	@ Odense	D 1-1	68.0	1608	1610	30.14%	29.98%	39.88%	-0.15	+0.3	12
2023-05-14	FC Copenhagen	L 1-3	56.9	1616	1772	20.94%	27.36%	51.70%	-0.56	-7.0	9
2023-05-14	@ Brondby	W 3-1	56.9	1772	1616	51.70%	27.36%	20.94%	+0.56	+7.0	10
2023-05-14	Horsens	W 3-1	51.7	1708	1527	62.78%	22.53%	14.69%	+0.95	+4.8	14
2023-05-14	@ Midtjylland	L 1-3	51.7	1527	1708	14.69%	22.53%	62.78%	-0.95	-4.8	4
2023-05-14	Lyngby	W 1-0	54.2	1605	1571	44.32%	29.33%	26.35%	+0.29	+5.2	5
2023-05-14	@ Silkeborg	L 0-1	54.2	1571	1605	26.35%	29.33%	44.32%	-0.29	-5.2	8
2023-05-14	Nordsjaelland	D 1-1	69.8	1660	1680	36.71%	30.19%	33.10%	+0.05	-0.1	12
2023-05-14	@ Aarhus GF	D 1-1	69.8	1680	1660	33.10%	30.19%	36.71%	-0.05	+0.1	8
2023-05-15	Viborg	L 0-2	54.7	1624	1673	32.70%	30.17%	37.13%	-0.08	-11.6	8
2023-05-15	@ Randers	W 2-0	54.7	1673	1624	37.13%	30.17%	32.70%	+0.08	+11.6	12
2023-05-19	Silkeborg	L 0-1	53.4	1522	1611	27.58%	29.59%	42.82%	-0.26	-5.4	4
2023-05-19	@ Horsens	W 1-0	53.4	1611	1522	42.82%	29.59%	27.58%	+0.26	+5.4	8
2023-05-21	Aarhus GF	W 4-3	67.6	1778	1660	55.31%	26.01%	18.68%	+0.67	+3.3	13
2023-05-21	@ FC Copenhagen	L 3-4	67.6	1660	1778	18.68%	26.01%	55.31%	-0.67	-3.3	12
2023-05-21	Brondby	D 1-1	69.9	1685	1609	49.85%	27.96%	22.19%	+0.48	-1.0	13
2023-05-21	@ Viborg	D 1-1	69.9	1609	1685	22.19%	27.96%	49.85%	-0.48	+1.0	10
2023-05-21	Midtjylland	L 0-2	52.6	1608	1713	25.80%	29.20%	45.00%	-0.33	-9.7	12
2023-05-21	@ Aalborg	W 2-0	52.6	1713	1608	45.00%	29.20%	25.80%	+0.33	+9.7	17
2023-05-21	Odense	L 0-4	50.7	1566	1610	33.40%	30.20%	36.40%	-0.06	-22.4	8
2023-05-21	@ Lyngby	W 4-0	50.7	1610	1566	36.40%	30.20%	33.40%	+0.06	+22.4	16
2023-05-22	Randers	W 3-1	56.8	1680	1613	48.81%	28.26%	22.92%	+0.44	+7.6	11
2023-05-22	@ Nordsjaelland	L 1-3	56.8	1613	1680	22.92%	28.26%	48.81%	-0.44	-7.6	8
2023-05-26	Horsens	W 2-1	55.8	1632	1516	54.94%	26.16%	18.90%	+0.66	+3.6	19
2023-05-26	@ Odense	L 1-2	55.8	1516	1632	18.90%	26.16%	54.94%	-0.66	-3.6	4
2023-05-29	Aalborg	W 2-1	62.5	1544	1598	31.87%	30.13%	38.00%	-0.11	+6.5	11
2023-05-29	@ Lyngby	L 1-2	62.5	1598	1544	38.00%	30.13%	31.87%	+0.11	-6.5	12
2023-05-29	FC Copenhagen	L 1-2	63.4	1684	1782	26.51%	29.37%	44.12%	-0.30	-5.0	13
2023-05-29	@ Viborg	W 2-1	63.4	1782	1684	44.12%	29.37%	26.51%	+0.30	+5.0	16
2023-05-29	Midtjylland	D 3-3	79.6	1616	1722	25.64%	29.15%	45.21%	-0.34	+0.4	9
2023-05-29	@ Silkeborg	D 3-3	79.6	1722	1616	45.21%	29.15%	25.64%	+0.34	-0.4	18
2023-05-29	Nordsjaelland	W 5-1	59.2	1610	1688	28.89%	29.81%	41.30%	-0.21	+21.8	13
2023-05-29	@ Brondby	L 1-5	59.2	1688	1610	41.30%	29.81%	28.89%	+0.21	-21.8	11
2023-05-30	Aarhus GF	L 1-3	59.8	1605	1657	32.29%	30.15%	37.56%	-0.09	-10.0	8
2023-05-30	@ Randers	W 3-1	59.8	1657	1605	37.56%	30.15%	32.29%	+0.09	+10.0	15
2023-06-03	Lyngby	D 0-0	59.0	1513	1550	34.23%	30.22%	35.55%	-0.03	+0.0	5
2023-06-03	@ Horsens	D 0-0	59.0	1550	1513	35.55%	30.22%	34.23%	+0.03	-0.0	12
2023-06-03	Odense	W 4-2	60.7	1722	1636	51.27%	27.51%	21.22%	+0.53	+6.3	21
2023-06-03	@ Midtjylland	L 2-4	60.7	1636	1722	21.22%	27.51%	51.27%	-0.53	-6.3	19
2023-06-03	Silkeborg	L 0-1	58.1	1592	1617	36.05%	30.21%	33.74%	+0.03	-6.6	12
2023-06-03	@ Aalborg	W 1-0	58.1	1617	1592	33.74%	30.21%	36.05%	-0.03	+6.6	12
2023-06-04	Brondby	D 3-3	79.1	1667	1632	44.42%	29.31%	26.27%	+0.29	-0.4	16
2023-06-04	@ Aarhus GF	D 3-3	79.1	1632	1667	26.27%	29.31%	44.42%	-0.29	+0.4	14
2023-06-04	Randers	D 1-1	72.6	1787	1595	63.93%	21.93%	14.14%	+1.00	-1.9	17
2023-06-04	@ FC Copenhagen	D 1-1	72.6	1595	1787	14.14%	21.93%	63.93%	-1.00	+1.9	9
2023-06-04	Viborg	D 0-0	65.3	1666	1679	37.83%	30.14%	32.04%	+0.08	-0.2	12
2023-06-04	@ Nordsjaelland	D 0-0	65.3	1679	1666	32.04%	30.14%	37.83%	-0.08	+0.2	14

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Record
2023-06-09	Midtjylland	L 0-1	58.2	1679	1728	28.35%	29.73%	41.93%	-0.22	-5.5	0-1
2023-06-09	@ Viborg	W 1-0	58.2	1728	1679	41.93%	29.73%	28.35%	+0.22	+5.5	1-0

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2023-04-30	13.94%	Brondby	1593	1	@ FC Copenhagen	1789	0
2	2023-03-12	15.97%	Lyngby	1551	3	@ Midtjylland	1710	1
3	2022-11-12	16.46%	Lyngby	1529	2	@ Silkeborg	1680	0
4	2022-08-28	17.61%	Odense	1566	2	@ Silkeborg	1700	1
5	2023-04-10	18.66%	@ Randers	1611	1	FC Copenhagen	1795	0
6	2022-08-12	18.93%	Randers	1620	3	@ FC Copenhagen	1735	1
7	2022-07-17	18.98%	Horsens	1623	1	@ FC Copenhagen	1738	0
8	2022-08-20	19.30%	Aarhus GF	1602	2	@ Midtjylland	1713	0
9	2022-09-04	19.52%	Aalborg	1599	2	@ Midtjylland	1706	0
10	2022-10-31	19.85%	Odense	1601	2	@ Midtjylland	1705	1
11	2023-04-11	20.39%	Horsens	1550	2	@ Silkeborg	1646	1
12	2022-09-10	20.87%	@ Odense	1570	2	FC Copenhagen	1726	1
13	2023-02-27	21.13%	Brondby	1632	1	@ Midtjylland	1720	0
14	2023-05-07	21.16%	@ Lyngby	1563	2	Midtjylland	1716	1
15	2023-04-09	23.82%	Aarhus GF	1631	1	@ Viborg	1689	0
16	2023-04-30	24.90%	Aarhus GF	1634	1	@ Nordsjaelland	1681	0
17	2022-08-28	25.09%	@ Nordsjaelland	1622	3	FC Copenhagen	1734	1
18	2022-07-31	25.49%	@ Viborg	1629	4	FC Copenhagen	1737	2
19	2023-05-08	25.76%	@ Nordsjaelland	1673	3	FC Copenhagen	1778	2
20	2022-07-22	25.96%	Silkeborg	1673	3	@ Midtjylland	1711	1
21	2022-07-24	26.41%	Nordsjaelland	1610	3	@ Brondby	1643	1
22	2023-05-07	26.42%	Brondby	1603	3	@ Randers	1637	1
23	2022-10-09	26.49%	Brondby	1620	3	@ Randers	1652	2
24	2023-03-05	26.59%	@ Lyngby	1543	1	Brondby	1641	0
25	2022-09-04	27.35%	Brondby	1605	2	@ Horsens	1630	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2023-04-02	26.20	Aalborg	4	1562	28.70%	@ Horsens	0	1576	41.52%	29.78%
2	2023-04-23	25.18	Randers	4	1620	30.65%	@ Brondby	0	1618	39.33%	30.03%
3	2023-02-20	24.54	Midtjylland	4	1695	31.91%	@ Viborg	0	1684	37.96%	30.13%
4	2023-05-21	22.42	Odense	4	1610	36.40%	@ Lyngby	0	1566	33.40%	30.20%
5	2023-05-29	21.75	@ Brondby	5	1610	28.89%	Nordsjaelland	1	1688	41.30%	29.81%
6	2023-03-05	19.69	@ FC Copenhagen	7	1760	59.92%	Odense	0	1603	16.12%	23.96%
7	2023-05-07	18.56	@ Aarhus GF	3	1642	32.50%	Viborg	0	1691	37.33%	30.16%
8	2022-11-04	18.35	@ Horsens	5	1606	37.24%	Randers	1	1622	32.59%	30.17%
9	2022-11-12	18.09	Lyngby	2	1529	16.46%	@ Silkeborg	0	1680	59.27%	24.27%
10	2023-05-07	18.02	@ Aalborg	4	1590	45.81%	Horsens	0	1545	25.17%	29.02%
11	2023-04-02	17.46	Viborg	3	1671	35.55%	@ Brondby	0	1634	34.23%	30.22%
12	2023-02-26	16.97	Viborg	3	1659	36.93%	@ Horsens	0	1612	32.89%	30.18%
13	2022-08-20	16.94	Aarhus GF	2	1602	19.30%	@ Midtjylland	0	1713	54.28%	26.42%
14	2022-09-04	16.85	Aalborg	2	1599	19.52%	@ Midtjylland	0	1706	53.92%	26.56%
15	2023-03-12	15.86	Lyngby	3	1551	15.97%	@ Midtjylland	1	1710	60.22%	23.82%
16	2023-02-19	15.32	FC Copenhagen	3	1741	41.54%	@ Silkeborg	0	1662	28.68%	29.78%
17	2022-07-29	15.16	Midtjylland	5	1698	45.44%	@ Odense	1	1590	25.46%	29.10%
18	2022-08-12	14.79	Randers	3	1620	18.93%	@ FC Copenhagen	1	1735	54.88%	26.18%
19	2022-09-04	14.20	Brondby	2	1605	27.35%	@ Horsens	0	1630	43.10%	29.55%
20	2022-07-18	13.59	Nordsjaelland	2	1596	29.47%	@ Odense	0	1603	40.64%	29.89%
21	2022-11-13	13.59	@ Nordsjaelland	5	1669	49.47%	Aalborg	1	1596	22.46%	28.07%
22	2022-08-19	13.50	FC Copenhagen	3	1720	46.64%	@ Lyngby	0	1603	24.53%	28.83%
23	2022-08-14	13.39	@ Viborg	2	1635	30.20%	Silkeborg	0	1702	39.82%	29.98%
24	2022-10-23	13.35	Nordsjaelland	2	1645	30.34%	@ Randers	0	1646	39.66%	30.00%
25	2022-09-18	13.22	Odense	2	1578	30.85%	@ Lyngby	0	1575	39.10%	30.05%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-10-17	79.6	@ Silkeborg	3	1688	45.51%	Randers	3	1646	25.40%	29.09%
2	2023-05-29	79.6	@ Silkeborg	3	1616	25.64%	Midtjylland	3	1722	45.21%	29.15%
3	2022-08-12	79.5	@ Horsens	3	1632	28.50%	Midtjylland	3	1713	41.75%	29.75%
4	2022-08-05	79.4	@ Lyngby	3	1609	25.82%	Midtjylland	3	1713	44.97%	29.20%
5	2023-03-19	79.3	@ Silkeborg	3	1647	32.87%	Midtjylland	3	1694	36.94%	30.18%
6	2023-06-04	79.1	@ Aarhus GF	3	1667	44.42%	Brondby	3	1632	26.27%	29.31%
7	2022-11-13	78.0	@ Horsens	3	1624	41.59%	Odense	3	1610	28.63%	29.78%
8	2022-10-02	77.2	@ Brondby	3	1620	47.65%	Lyngby	3	1561	23.77%	28.58%
9	2023-03-05	75.4	@ Viborg	2	1676	48.65%	Randers	2	1610	23.04%	28.31%
10	2022-07-17	74.9	@ Lyngby	2	1620	31.98%	Silkeborg	2	1673	37.88%	30.13%
11	2022-09-11	74.7	@ Brondby	2	1619	34.19%	Randers	2	1657	35.60%	30.22%
12	2022-10-23	73.9	@ Aarhus GF	2	1604	36.38%	Brondby	2	1627	33.42%	30.20%
13	2023-04-21	73.8	@ Silkeborg	2	1625	45.38%	Aalborg	2	1584	25.50%	29.12%
14	2023-05-08	73.8	@ Nordsjaelland	3	1673	25.76%	FC Copenhagen	2	1778	45.06%	29.19%
15	2022-07-24	73.5	@ Randers	2	1614	42.92%	Odense	2	1590	27.50%	29.58%
16	2023-04-24	72.9	@ Odense	2	1603	44.43%	Lyngby	2	1568	26.26%	29.31%
17	2023-06-04	72.6	@ FC Copenhagen	1	1787	63.93%	Randers	1	1595	14.14%	21.93%
18	2022-10-09	72.0	Brondby	3	1620	26.49%	@ Randers	2	1652	44.15%	29.36%
19	2023-04-28	72.0	@ Horsens	2	1544	31.37%	Odense	2	1603	38.54%	30.09%
20	2022-10-23	71.7	@ Horsens	3	1609	28.73%	Silkeborg	2	1688	41.47%	29.79%
21	2022-07-15	70.6	@ Midtjylland	1	1712	52.94%	Randers	1	1613	20.14%	26.93%
22	2022-10-08	70.6	@ FC Copenhagen	1	1716	49.24%	Nordsjaelland	1	1645	22.62%	28.14%
23	2022-10-22	70.5	@ FC Copenhagen	1	1714	41.02%	Midtjylland	1	1704	29.13%	29.85%
24	2022-09-18	70.4	@ Randers	3	1657	34.81%	Silkeborg	2	1690	34.96%	30.22%
25	2022-10-02	70.2	@ Midtjylland	1	1695	45.01%	Viborg	1	1656	25.79%	29.19%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2022-11-06	44.3	@ FC Copenhagen	3	1725	63.54%	Lyngby	0	1536	14.32%	22.14%
2	2023-05-07	46.8	@ Aalborg	4	1590	45.81%	Horsens	0	1545	25.17%	29.02%
3	2023-05-01	49.2	@ Midtjylland	3	1704	50.31%	Silkeborg	0	1625	21.88%	27.82%
4	2023-03-05	49.5	@ FC Copenhagen	7	1760	59.92%	Odense	0	1603	16.12%	23.96%
5	2022-08-14	50.0	@ Brondby	2	1612	45.57%	Odense	0	1569	25.35%	29.08%
6	2023-04-23	50.1	Midtjylland	2	1695	50.04%	@ Horsens	0	1553	22.06%	27.90%
7	2022-08-19	50.2	FC Copenhagen	3	1720	46.64%	@ Lyngby	0	1603	24.53%	28.83%
8	2023-05-21	50.7	Odense	4	1610	36.40%	@ Lyngby	0	1566	33.40%	30.20%
9	2023-02-26	51.4	@ FC Copenhagen	1	1757	62.70%	Aalborg	0	1576	14.73%	22.57%
10	2023-05-14	51.7	@ Midtjylland	3	1708	62.78%	Horsens	1	1527	14.69%	22.53%
11	2022-10-28	51.8	@ Nordsjaelland	2	1659	45.59%	Horsens	0	1615	25.34%	29.07%
12	2023-03-03	51.8	@ Aarhus GF	2	1609	41.52%	Horsens	0	1595	28.70%	29.79%
13	2022-07-31	51.9	@ Silkeborg	2	1686	47.20%	Brondby	0	1630	24.10%	28.69%
14	2023-04-02	52.1	Aalborg	4	1562	28.70%	@ Horsens	0	1576	41.52%	29.78%
15	2022-11-13	52.2	FC Copenhagen	2	1732	47.19%	@ Aarhus GF	0	1611	24.11%	28.70%
16	2023-04-10	52.3	@ Midtjylland	1	1693	56.29%	Lyngby	0	1567	18.11%	25.60%
17	2022-10-14	52.5	Aalborg	2	1605	36.31%	@ Lyngby	0	1562	33.49%	30.20%
18	2022-11-13	52.5	@ Nordsjaelland	5	1669	49.47%	Aalborg	1	1596	22.46%	28.07%
19	2023-02-19	52.5	FC Copenhagen	3	1741	41.54%	@ Silkeborg	0	1662	28.68%	29.78%
20	2023-02-26	52.5	Viborg	3	1659	36.93%	@ Horsens	0	1612	32.89%	30.18%
21	2023-02-26	52.6	@ Randers	1	1605	47.43%	Lyngby	0	1548	23.93%	28.64%
22	2023-05-21	52.6	Midtjylland	2	1713	45.00%	@ Aalborg	0	1608	25.80%	29.20%
23	2023-03-12	52.7	FC Copenhagen	4	1779	56.62%	@ Horsens	1	1584	17.92%	25.46%
24	2022-09-04	53.1	Randers	2	1646	38.89%	@ Lyngby	0	1585	31.05%	30.06%
25	2023-04-02	53.3	Viborg	3	1671	35.55%	@ Brondby	0	1634	34.23%	30.22%